> ## Site index > Fetch the complete index of this site at: https://www.tharamcp.com/llms.txt > Use it to discover every available page before exploring further. # Our Services — What Thara Actually Does For You | Thara URL: https://www.tharamcp.com/en/services Thara's full service scope: data discovery and mapping, legacy system connectivity, custom MCP tool development, PDPA-aligned security and governance, enablement on the AI you already use, and ongoing operations — with the concrete deliverables of each, and what we explicitly do not do. What we actually do We make the data in your existing systems usable by AI. Thara is a managed service from Ngernthongdee Co., Ltd. — not software handed over for your team to figure out. We do the work: mapping the data in the systems you already run, connecting them, building the tools AI uses, putting the security controls in place, and operating it after go-live. You don't need to staff an AI team, and you don't replace a single existing system. ## Data discovery and mapping Our agent scans the systems you already run and maps what data exists, where it lives, and how it relates — so your team never has to hand-document a schema. ### Deliverables - A structural map of tables, fields, and relationships across every system in scope - The list of questions your data can genuinely answer today, plus what's missing - A recommended connection method per system, with the risks named up front ## Connectivity for any legacy system Wherever the system sits — an on-premise database, cloud, external SaaS, or a legacy system that can only export files — we pick the method that doesn't disturb the software your staff use every day. ### Deliverables - Direct database connectivity over a private network, on-premise or cloud - Optional Mirror DB or sync so read load never lands on your production system - REST API, CSV / hot folder, and external SaaS sources — all through the same adapter contract ## Custom MCP tools for your systems The core of the service: MCP tools built against your real schema, one tool per data domain, each validated against live data before it is switched on. ### Deliverables - Your own MCP server, with data isolated from every other customer - Tools split by domain — revenue, rooms, sales, inventory, procurement, HR, GL - Documentation per tool: which source it reads, and which questions it answers ## Security and governance setup Before any AI touches your data, the controls go in: enforced read-only access, role-based permissions, and PDPA-aligned masking of personal data. ### Deliverables - Read-only enforced at the tool layer — no write, update, or delete path into source systems - Role-based access: staff, managers, and owners do not see the same tools - PDPA-aligned PII masking with configurable sensitive fields specified by your team, and a hash-chained audit trail covering every request ## Enablement on your AI, plus the Admin Console We connect Thara to the AI your team actually uses — Claude, ChatGPT, Gemini, or a model you run in-house — and hand you the console that controls who can access what. ### Deliverables - Connection setup for the AI you choose, including models running inside your own infrastructure - Admin Console: invite and revoke users, see tool usage, toggle individual tools per person - Usage guidance for your team, with a starter question set matched to your business ## Cross-system reconciliation — worked jointly with your team This one we cannot do alone, and shouldn't. We build the tooling that matches records across systems and surfaces what doesn't tie out — but the people who know why a given variance exists, and how it should be adjusted, are your finance team and data owners. So we work alongside them rather than taking it over. ### Deliverables - Tooling that matches records across sources — POS against GL, PMS against accounting — with confidence scoring and the open variances listed - Matching rules we design against what your finance team confirms is correct, then tune together against real cases - Judgement and posting of adjustments stay with your team — we never write back into the accounting system ## Ongoing operation after go-live We don't disappear at go-live. We keep the connections running, and add or revise tools as your business changes. ### Deliverables - Connection monitoring, with an alert to you when a source breaks - New and revised MCP tools as your team's real usage evolves - Support at the level your plan covers; Enterprise includes a dedicated engineer and SLA ## How an engagement starts The actual sequence, from first conversation to go-live. ### 30-Minute Discovery Call Discuss your current systems, data locations, and target questions. No credentials or system access required at this stage. ### NDA & System Exploration Execute an NDA before sharing confidential details, with separate access approval for data structure exploration. ### SOW Scoping & Integration Finalize systems, MCP tools, permissions, deliverables, proposal costs, and develop read-only connections. ### UAT, Handover & Golden Period Jointly validate data accuracy, complete handover documentation, supported by the Golden Period and ongoing MA. ## What we do not do Stated plainly, so there is no confusion about what buying this service includes. - We don't replace or modify your existing systems, and we never write, update, or delete data in a source system - We don't resell AI accounts — you use your own Claude, ChatGPT, or Gemini account, or a model you run in-house - This is not a BI or dashboard licence — Thara is the data layer that lets you ask and let AI build the report - We don't relocate your data anywhere beyond a Mirror DB or sync explicitly agreed in writing - We don't warrant answers generated by third-party AI providers; we warrant the correctness of the data our MCP layer returns ## What we need from your side This works through cooperation, not hand-off. Here is everything we depend on you for. - One coordinator on your side who knows which system holds what, and can answer data questions - Read-only data access within the scope you approve, including the connection path opened by your IT team or incumbent vendor - Confirmation from someone close to operations that the numbers our tools return match what the business actually uses - Judgement calls on the data — unreconciled items, accounting adjustments — remain your team's decision